Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-04-03 09:48:14	ga_ls8c_ard_3-0-0_095072_2013-04-03_final
2013-10-11 10:15:24	ga_ls8c_ard_3-0-0_099078_2013-10-11_final
2013-11-30 11:42:28	ga_ls8c_ard_3-0-0_113080_2013-11-30_final
2014-04-03 10:26:05	ga_ls8c_ard_3-0-0_101078_2014-04-03_final
2014-05-25 11:41:09	ga_ls8c_ard_3-0-0_113082_2014-05-25_final
2015-01-19 10:54:23	ga_ls8c_ard_3-0-0_106072_2015-01-19_final
2015-02-15 10:39:14	ga_ls8c_ard_3-0-0_103081_2015-02-15_final
2015-03-29 11:13:35	ga_ls8c_ard_3-0-0_109075_2015-03-29_final
2015-05-23 11:19:22	ga_ls8c_ard_3-0-0_110075_2015-05-23_final
2015-06-24 11:17:38	ga_ls8c_ard_3-0-0_110070_2015-06-24_final
2015-07-21 11:03:44	ga_ls8c_ard_3-0-0_107081_2015-07-21_final
2015-08-13 11:07:38	ga_ls8c_ard_3-0-0_108075_2015-08-13_final
2015-08-25 11:32:03	ga_ls8c_ard_3-0-0_112074_2015-08-25_final
2015-08-27 09:40:01	ga_ls8c_ard_3-0-0_094072_2015-08-27_final
2015-12-15 11:31:36	ga_ls8c_ard_3-0-0_112072_2015-12-15_final
2015-12-17 11:17:15	ga_ls8c_ard_3-0-0_110067_2015-12-17_final
2015-12-25 10:28:12	ga_ls8c_ard_3-0-0_102068_2015-12-25_final
2016-01-30 11:41:54	ga_ls8c_ard_3-0-0_114067_2016-01-30_final
2016-03-22 11:16:53	ga_ls8c_ard_3-0-0_110067_2016-03-22_final
2016-04-07 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-04-07_final
2016-04-28 11:42:00	ga_ls8c_ard_3-0-0_113084_2016-04-28_final
2016-06-10 09:39:55	ga_ls8c_ard_3-0-0_094072_2016-06-10_final
2016-06-26 09:40:01	ga_ls8c_ard_3-0-0_094072_2016-06-26_final
2016-12-06 10:10:39	ga_ls8c_ard_3-0-0_099070_2016-12-06_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2017-05-11 10:38:49	ga_ls8c_ard_3-0-0_103081_2017-05-11_final
2017-07-22 11:25:34	ga_ls8c_ard_3-0-0_111073_2017-07-22_final
2017-12-06 11:18:27	ga_ls8c_ard_3-0-0_110070_2017-12-06_final
2018-01-04 10:46:45	ga_ls8c_ard_3-0-0_105068_2018-01-04_final
2018-06-19 10:14:03	ga_ls8c_ard_3-1-0_099082_2018-06-19_final
2018-07-27 11:13:46	ga_ls8c_ard_3-0-0_109076_2018-07-27_final
2018-07-30 10:09:24	ga_ls8c_ard_3-0-0_098085_2018-07-30_final
2018-08-19 11:17:46	ga_ls8c_ard_3-0-0_110070_2018-08-19_final
2018-09-13 11:17:20	ga_ls8c_ard_3-0-0_109084_2018-09-13_final
2018-09-20 11:19:33	ga_ls8c_ard_3-0-0_110074_2018-09-20_final
2018-09-29 11:13:51	ga_ls8c_ard_3-1-0_109075_2018-09-29_final
2018-10-08 11:10:08	ga_ls8c_ard_3-0-0_108081_2018-10-08_final
2019-03-28 10:48:34	ga_ls8c_ard_3-1-0_105074_2019-03-28_final
2019-05-25 09:47:40	ga_ls8c_ard_3-0-0_095076_2019-05-25_final
2019-12-06 10:17:13	ga_ls8c_ard_3-1-0_100071_2019-12-06_final
2020-01-04 09:44:37	ga_ls8c_ard_3-1-0_095067_2020-01-04_final
2020-01-17 12:31:27	ga_ls8c_ard_3-2-1_122067_2020-01-17_final
2020-04-09 09:46:03	ga_ls8c_ard_3-1-0_095072_2020-04-09_final
2020-06-08 10:12:42	ga_ls8c_ard_3-1-0_099077_2020-06-08_final
2020-07-02 11:01:09	ga_ls8c_ard_3-1-0_107074_2020-07-02_final
2020-07-31 10:33:36	ga_ls8c_ard_3-1-0_102082_2020-07-31_final
2020-09-25 11:18:36	ga_ls8c_ard_3-1-0_110070_2020-09-25_final
2020-09-28 10:14:37	ga_ls8c_ard_3-1-0_099080_2020-09-28_final
2020-11-26 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-11-26_final
2020-12-01 10:11:04	ga_ls8c_ard_3-1-0_099071_2020-12-01_final
2020-12-19 11:35:59	ga_ls8c_ard_3-2-0_113067_2020-12-19_final
2021-01-22 09:46:57	ga_ls8c_ard_3-2-0_095073_2021-01-22_final
2021-03-08 09:17:01	ga_ls8c_ard_3-2-0_090076_2021-03-07_final
2021-03-13 11:16:47	ga_ls8c_ard_3-2-0_109082_2021-03-13_final
2021-03-15 09:19:56	ga_ls8c_ard_3-2-0_091068_2021-03-14_final
2021-04-05 09:41:58	ga_ls8c_ard_3-2-0_094077_2021-04-05_final
2021-04-07 11:07:41	ga_ls8c_ard_3-2-0_108075_2021-04-07_final
2021-04-27 10:42:01	ga_ls8c_ard_3-2-0_104073_2021-04-27_final
2021-05-07 11:17:24	ga_ls8c_ard_3-2-0_110069_2021-05-07_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-05-30 11:24:13	ga_ls8c_ard_3-2-0_111070_2021-05-30_final
2021-06-04 11:47:11	ga_ls8c_ard_3-2-0_114081_2021-06-04_final
2021-06-17 09:33:53	ga_ls8c_ard_3-2-0_093072_2021-06-17_final
2021-06-28 09:17:23	ga_ls8c_ard_3-2-0_090077_2021-06-27_final
2021-07-07 10:48:54	ga_ls8c_ard_3-2-0_105074_2021-07-07_final
2021-08-08 09:11:25	ga_ls8c_ard_3-2-0_089077_2021-08-07_final
2021-09-05 11:11:59	ga_ls8c_ard_3-2-0_109069_2021-09-05_final
2021-09-12 11:18:35	ga_ls8c_ard_3-2-0_110070_2021-09-12_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-10-30 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-30_final
2021-11-27 11:42:11	ga_ls8c_ard_3-2-0_114067_2021-11-27_final
2021-11-28 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-28_final
2021-12-14 09:11:40	ga_ls8c_ard_3-2-1_089077_2021-12-13_final
2021-12-21 09:17:49	ga_ls8c_ard_3-2-1_090077_2021-12-20_final
2022-01-15 10:47:38	ga_ls8c_ard_3-2-1_105070_2022-01-15_final
2022-02-10 11:25:24	ga_ls8c_ard_3-2-1_111072_2022-02-10_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-05-03 11:13:32	ga_ls8c_ard_3-2-1_109074_2022-05-03_final
2022-05-13 10:10:14	ga_ls8c_ard_3-2-1_099070_2022-05-13_final
2022-05-30 09:16:39	ga_ls8c_ard_3-2-1_090075_2022-05-29_final
2022-06-19 10:33:51	ga_ls8c_ard_3-2-1_102082_2022-06-19_final
2022-07-20 11:25:10	ga_ls8c_ard_3-2-1_111071_2022-07-20_final
2022-08-30 09:45:33	ga_ls8c_ard_3-2-1_094084_2022-08-30_final
2022-09-19 09:21:20	ga_ls8c_ard_3-2-1_090085_2022-09-18_final
2022-10-27 10:21:55	ga_ls8c_ard_3-2-1_100082_2022-10-27_final
2022-12-26 10:40:50	ga_ls8c_ard_3-2-1_104068_2022-12-26_final
2022-12-31 09:22:54	ga_ls8c_ard_3-2-1_091074_2022-12-30_final
2023-02-08 09:29:01	ga_ls8c_ard_3-2-1_092074_2023-02-07_final
2023-02-09 10:16:15	ga_ls8c_ard_3-2-1_099084_2023-02-09_final
2023-03-12 09:28:38	ga_ls8c_ard_3-2-1_092074_2023-03-11_final
2023-03-31 11:38:14	ga_ls8c_ard_3-2-1_113074_2023-03-31_final
2023-04-28 10:26:59	ga_ls8c_ard_3-2-1_101082_2023-04-28_final
2023-07-28 10:09:32	ga_ls8c_ard_3-2-1_098084_2023-07-28_final
2023-08-30 10:49:00	ga_ls8c_ard_3-2-1_105074_2023-08-30_final
2023-09-04 11:11:31	ga_ls8c_ard_3-2-1_108084_2023-09-04_final
2023-09-20 09:28:44	ga_ls8c_ard_3-2-1_092074_2023-09-19_final
2023-09-21 10:10:24	ga_ls8c_ard_3-2-1_099070_2023-09-21_final
2023-11-08 10:10:29	ga_ls8c_ard_3-2-1_099070_2023-11-08_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-10 10:14:03	ga_ls8c_ard_3-2-1_099079_2023-12-10_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years